This paper presents annotation work to manually classify satire/sarcasm in long commentaries on Italian politics. It is based on Appraisal Theory and uses some 30K word texts. The underlying hypothesis is that using this framework it is possible to pinpoint precisely the deep semantic contents of evaluative judgements and appreciations making up an ironic comment. We performed a high level annotation using major categories, and then refined the classification starting from the lexica derived from the xml annotated files. In this way we succeeded in differentiating texts by the two authors we chose, one of which is characterized by a sharp cutting ironic/almost sarcastic style.

Annotating Satire in Italian Political Commentaries with Appraisal Theory

STINGO, MICHELE;DELMONTE, Rodolfo
2016-01-01

Abstract

This paper presents annotation work to manually classify satire/sarcasm in long commentaries on Italian politics. It is based on Appraisal Theory and uses some 30K word texts. The underlying hypothesis is that using this framework it is possible to pinpoint precisely the deep semantic contents of evaluative judgements and appreciations making up an ironic comment. We performed a high level annotation using major categories, and then refined the classification starting from the lexica derived from the xml annotated files. In this way we succeeded in differentiating texts by the two authors we chose, one of which is characterized by a sharp cutting ironic/almost sarcastic style.
NLPMJ - Natural Language Processing meets Journalism
File in questo prodotto:
File Dimensione Formato  
Annotating_Satires.pdf

accesso aperto

Tipologia: Documento in Post-print
Licenza: Accesso libero (no vincoli)
Dimensione 151.41 kB
Formato Adobe PDF
151.41 kB Adobe PDF Visualizza/Apri

I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/3683343
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact